Merge pull request #3788 from asmorkalov:as/ml_build_fix

Fixed build error after OpenCV #26101.

Author: asmorkalov

modules/bioinspired/src/retina_ocl.cpp

@@ -390,7 +390,7 @@ bool RetinaOCLImpl::convertToColorPlanes(const UMat& input, UMat &output)
     }
     else
     {
-        CV_Error(-1, "Retina ocl only support 1, 3, 4 channel input");
+        CV_Error(cv::Error::StsError, "Retina ocl only support 1, 3, 4 channel input");
     }
 }
 void RetinaOCLImpl::convertToInterleaved(const UMat& input, bool colorMode, UMat &output)

modules/bioinspired/src/retinafasttonemapping.cpp

@@ -107,7 +107,7 @@ class RetinaFastToneMappingImpl : public RetinaFastToneMapping
 
         // basic error check
         if (nbPixels <= 0)
-        throw cv::Exception(-1, "Bad retina size setup : size height and with must be superior to zero", "RetinaImpl::setup", "retinafasttonemapping.cpp", 0);
+            CV_Error(cv::Error::StsError, "Bad retina size setup : size height and with must be superior to zero");
 
         // resize buffers
         _inputBuffer.resize(nbPixels*3); // buffer supports gray images but also 3 channels color buffers... (larger is better...)
@@ -222,7 +222,7 @@ bool _convertCvMat2ValarrayBuffer(InputArray inputMat, std::valarray<float> &out
     const Mat inputMatToConvert=inputMat.getMat();
     // first check input consistency
     if (inputMatToConvert.empty())
-        throw cv::Exception(-1, "RetinaImpl cannot be applied, input buffer is empty", "RetinaImpl::run", "RetinaImpl.h", 0);
+        CV_Error(cv::Error::StsError, "RetinaImpl cannot be applied, input buffer is empty");
 
     // retreive color mode from image input
     int imageNumberOfChannels = inputMatToConvert.channels();

modules/bioinspired/src/transientareassegmentationmodule.cpp

@@ -413,17 +413,17 @@ void TransientAreasSegmentationModuleImpl::run(InputArray inputToProcess, const
     // preliminary basic error check
     if ( (inputToSegment.rows*inputToSegment.cols) != (int)_inputToSegment.size())
     {
-    	std::stringstream errorMsg;
-    	errorMsg<<"Input matrix size does not match instance buffers setup !"
-    			<<"\n\t Input size is : "<<inputToSegment.rows*inputToSegment.cols
-    			<<"\n\t v.s. internalBuffer size is : "<<  _inputToSegment.size();
-    	throw cv::Exception(-1, errorMsg.str().c_str(), "SegmentationModule::run", "SegmentationModule.cpp", 0);
+        std::stringstream errorMsg;
+        errorMsg<<"Input matrix size does not match instance buffers setup !"
+                <<"\n\t Input size is : "<<inputToSegment.rows*inputToSegment.cols
+                <<"\n\t v.s. internalBuffer size is : "<<  _inputToSegment.size();
+        CV_Error(cv::Error::StsError, errorMsg.str().c_str());
     }
     if (channelIndex >= inputToSegment.channels())
     {
-    	std::stringstream errorMsg;
-    	errorMsg<<"Cannot access channel index "<<channelIndex<<" on the input matrix with channels quantity = "<<inputToSegment.channels();
-    	throw cv::Exception(-1, errorMsg.str().c_str(), "SegmentationModule::run", "SegmentationModule.cpp", 0);
+        std::stringstream errorMsg;
+        errorMsg<<"Cannot access channel index "<<channelIndex<<" on the input matrix with channels quantity = "<<inputToSegment.channels();
+        CV_Error(cv::Error::StsError, errorMsg.str().c_str());
     }
 
     // create a cv::Mat header for the input valarray
@@ -538,7 +538,7 @@ bool TransientAreasSegmentationModuleImpl::_convertCvMat2ValarrayBuffer(InputArr
     const Mat inputMatToConvert=inputMat.getMat();
     // first check input consistency
     if (inputMatToConvert.empty())
-        throw cv::Exception(-1, "RetinaImpl cannot be applied, input buffer is empty", "RetinaImpl::run", "RetinaImpl.h", 0);
+        CV_Error(cv::Error::StsError, "RetinaImpl cannot be applied, input buffer is empty");
 
     // retreive color mode from image input
     int imageNumberOfChannels = inputMatToConvert.channels();

modules/ml/src/svm.cpp

@@ -410,8 +410,7 @@ ParamGrid SVM::getDefaultGrid( int param_id )
         grid.logStep = 7; // total iterations = 3
     }
     else
-        cvError( cv::Error::StsBadArg, "SVM::getDefaultGrid", "Invalid type of parameter "
-                "(use one of SVM::C, SVM::GAMMA et al.)", __FILE__, __LINE__ );
+        CV_Error(cv::Error::StsBadArg, "Invalid type of parameter: use one of SVM::C, SVM::GAMMA et al.");
     return grid;
 }
 

modules/tracking/src/trackerBoostingModel.cpp

@@ -90,7 +90,7 @@ void TrackerBoostingModel::responseToConfidenceMap( const std::vector<Mat>& resp
 {
   if( currentSample.empty() )
   {
-    CV_Error( -1, "The samples in Model estimation are empty" );
+    CV_Error( cv::Error::StsError, "The samples in Model estimation are empty" );
   }
 
   for ( size_t i = 0; i < currentSample.size(); i++ )

modules/tracking/src/trackerFeature.cpp

@@ -82,7 +82,7 @@ Ptr<TrackerContribFeature> TrackerContribFeature::create( const String& trackerF
     return Ptr<TrackerFeatureLBP>( new TrackerFeatureLBP() );
   }
 
-  CV_Error( -1, "Tracker feature type not supported" );
+  CV_Error( cv::Error::StsError, "Tracker feature type not supported" );
 }
 
 String TrackerContribFeature::getClassName() const

modules/tracking/src/trackerStateEstimator.cpp

@@ -59,7 +59,7 @@ Ptr<TrackerStateEstimator> TrackerStateEstimator::create( const String& trackeSt
     //return Ptr<TrackerStateEstimatorMILBoosting>( new TrackerStateEstimatorMILBoosting() );
   }
 
-  CV_Error( -1, "Tracker state estimator type not supported" );
+  CV_Error( cv::Error::StsError, "Tracker state estimator type not supported" );
 }
 
 

modules/videostab/src/frame_source.cpp

@@ -68,7 +68,7 @@ class VideoFileSourceImpl : public IFrameSource
         vc.release();
         vc.open(path_);
         if (!vc.isOpened())
-            CV_Error(0, "can't open file: " + path_);
+            CV_Error(cv::Error::StsError, "can't open file: " + path_);
 #else
         CV_Error(Error::StsNotImplemented, "OpenCV has been compiled without video I/O support");
 #endif